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AAAI Fall Symposium ALEC 2018: Arlington, VA, USA
- Joseph B. Collins, Prithviraj Dasgupta, Ranjeev Mittu:
Proceedings of the AAAI Symposium on Adversary-Aware Learning Techniques and Trends in Cybersecurity (ALEC 2018) co-located with the Association for the Advancement of Artificial Intelligence 2018 Fall Symposium Series (AAAI-FSS 2018), Arlington, Virginia, USA, October 18-20, 2018. CEUR Workshop Proceedings 2269, CEUR-WS.org 2018
Adversarial Data Generation and Adversarial Training
- William Fleshman, Edward Raff, Richard Zak, Mark McLean, Charles Nicholas:
Static Malware Detection & Subterfuge: Quantifying the Robustness of Machine Learning and Current Anti-Virus. 3-10 - Octavian Suciu, Scott E. Coull, Jeffrey Johns:
Exploring Adversarial Examples in Malware Detection. 11-16 - Prithviraj Dasgupta, Joseph B. Collins, Anna Buhman:
Gray-box Techniques for Adversarial Text Generation. 17-23 - Abebaw Tadesse, Joseph B. Collins:
Adversarial Training on Word-Char Embedding. 24-27
Countering Adversarial Attacks in Cybersecurity
- Steven Meckl, Gheorghe Tecuci, Dorin Marcu, Mihai Boicu:
Integrating Collaborative Cognitive Assistants Into Cybersecurity Operations Centers. 28-35 - Ying Zhao, Andrew Polk, Shaun Kallis, Lauren Jones, Riqui Schwamm, Tony Kendall:
Data and Deep Models Applied to Cyber Security Data Analysis. 36-40 - Muhammad Mudassar Yamin, Basel Katt:
Inefficiencies in Cyber-Security Exercises Life-Cycle: A Position Paper. 41-43
Novel Approaches in Adversarial Artificial Intelligence
- Nicole Nichols, Robert Jasper:
Projecting Trouble: Light based Adversarial Attacks on Deep Learning Classifiers. 44-49 - Una-May O'Reilly, Erik Hemberg:
An Artificial Coevolutionary Framework for Adversarial AI. 50-55 - Sean L. Barton, Nicholas R. Waytowich, Derrik E. Asher:
Coordination-driven Learning in Multi-agent Problem Spaces. 56-58
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